We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Homogeneous coordinates are often used in computer graphics and computer vision applications especially for the representation of geometric transformations. The homogeneous coordi...
While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. In this paper, we propose to use adaptive...
Capturing and analyzing the detailed eye movements of a user while reading a web page can reveal much about the ways in which web reading occurs. The WebGazeAnalyzer system descri...
Future Machine Vision applications have to cope with 3D non-rigid objects. One such application is 3D pose estimation of cactus leaves, which is the topic in this paper. We apply ...
Thomas B. Moeslund, Michael Aagaard, Dennis Lerche